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Modelling the behaviour of stock markets has been of major interest in the past century. The market can be treated as a network of many investors reacting in accordance to their group behaviour, as manifested by the index and effected by the flow of external information into the system. Here we devise a model that encapsulates the behaviour of stock markets. The model consists of two terms, demonstrating quantitatively the effect of the individual tendency to follow the group and the effect of the individual reaction to the available information. Using the above factors we were able to explain several key features of the stock market: the high correlations between the individual stocks and the index; the Epps effect; the high fluctuating nature of the market, which is similar to real market behaviour. Furthermore, intricate long term phenomena are also described by this model, such as bursts of synchronized average correlation and the dominance of the index as demonstrated through partial correlation.

The Finance Department and the Mathematical Finance Program of the Questrom School of Business, together with the Hariri Institute for Computing at Boston University are pleased to announce a one-day conference on recent advances in financial econometrics. The focus of the conference lies on the identification of new risks from financial data. It will include a series of talks from experts in the field as well as provide a platform for fruitful discussion. The conference will be held at the Questrom School of Business of Boston University on Saturday, September 10, 2016.